Evidence map›Paper›PMID 31069584›Full record

ArticleAnnals of biomedical engineering2019

4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular Simulation.

Ryan Pewowaruk, Alejandro Roldán-Alzate

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  8. On the Role and Effects of Uncertainties in CardiovascularFrontiers in medical technology · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ryan PewowarukBiomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Room 2476 WIMR 2, Madison, WI, 53705, USA.
Alejandro Roldán-AlzateBiomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Room 2476 WIMR 2, Madison, WI, 53705, USA. roldan@wisc.edu.

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Wisconsin Multidisciplinary K12 Urologic Research Career Development ProgramK12DK100022 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI CHAD M. VEZINA · 2013 to 2026
$8.6M
NHLBI NIH HHS HL 007936NHLBI NIH HHS T32 HL007936NIDDK NIH HHS K12 DK100022
6 · The paper itself

Abstract

Accurate image based cardiovascular simulations require patient specific boundary conditions (BCs) for inlets, outlets and vessel wall mechanical properties. While inlet BCs are typically determined non-invasively, invasive pressure catheterization is often used to determine patient specific outlet BCs and vessel wall mechanical properties. A method using 4D Flow MRI to non-invasively determine both patient specific outlet BCs and vessel wall mechanical properties is presented and results for both in vitro validation with a latex tube and an in vivo pulmonary artery stenosis (PAS) stent intervention are presented. For in vitro validation, acceptable agreement is found between simulation using BCs from 4D Flow MRI and benchtop measurements. For the PAS virtual intervention, simulation correctly predicts flow distribution with 9% error compared to MRI. Using 4D Flow MRI to noninvasively determine patient specific BCs increases the ability to use image based simulations as pressure catheterization is not always performed.

Indexed as

Cardiovascular SystemModels, CardiovascularAnimalsHumansMagnetic Resonance ImagingStenosis, Pulmonary ArteryStentsSwine4D flow MRIFluid structure interactionPatient specificPulmonary artery stenosis

Identifiers

PMID31069584
PMCPMC7328374

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.